Cristian Malpica Professional Portfolio

Professional approach · Anonymised

How I approach B2B portfolio decisions

Seven recurring decision patterns from physical-product management—showing how I frame evidence, trade-offs, recommendations and ownership boundaries.

The product lens

Physical product management connects market need to portfolio role, commercial viability, supply, data, compliance, launch, adoption and lifecycle action.

These are not presented as seven delivered case studies. They are recurring decision frameworks grounded in my current responsibilities, showing how I move from evidence to a recommendation while keeping trade-offs and ownership boundaries explicit.

Environment
Multi-branch B2B distribution
Scope
Physical product families
My role
Analysis, requirements, recommendations and coordination
Evidence boundary
Methods and measures shown; values and results omitted

Collection summary

Lifecycle
Reduce unnecessary range complexity without removing products that serve a strategic, technical or continuity role.
Commercial
Respond to supplier cost changes without treating margin protection and market competitiveness as opposing absolutes.
Go-to-market
Decide whether evidence and operational readiness justify a launch, a bounded pilot, an on-demand offer or no launch.
Operations
Translate product role into local, central and order-on-demand availability.
Data
Prioritise product information and documentation by customer exposure, risk and strategic value.
Adoption
Diagnose performance barriers before choosing training, enablement, pricing, availability or positioning interventions.
Partners
Treat supplier performance as a portfolio and customer-value decision, not only a purchasing issue.

01 · Lifecycle strategy

Reduce range complexity without compromising strategic coverage

Range reviews can surface overlapping references, low-rotation products, uneven availability and documentation gaps. The product decision is how to simplify the portfolio without removing specialist, system-completing or strategically necessary products.

I own

Analysis and recommendation

I assess the portfolio and prepare recommendations on strategic role, substitution, stock status and lifecycle action.

I coordinate

Cross-functional validation

I bring commercial, operational, technical and data perspectives into the recommendation before action.

Approval boundary

Final decision and execution

Management approves portfolio decisions; the relevant teams execute agreed changes.

Reconstructed portfolio artefact based on the method used during the project. This is not an original internal company document.

Decision model

Role before threshold

Evidence
Commercial performance, rotation and ageing, customer breadth, availability, technical equivalence and documentation readiness.
Roles
Core, growth, specialist, order-on-demand, substitution and withdrawal.
Safeguards
Technical compatibility, system completeness, customer dependence and supply continuity.
Measures
Duplication, ageing, rotation, priority-range concentration, margin direction and recurring equivalence questions.

Option 01

Keep the range

Benefit
Lowest disruption.
Risk
Inherited complexity and stock exposure remain.

Option 02

Use a sales threshold

Benefit
Simple and repeatable.
Risk
Ignores availability bias, technical role and strategic coverage.

Direction

Segment by product role

Why
It connects commercial evidence with customer, technical and operational context.
Trade-off
Requires more validation before withdrawal or migration.
Low historical sales were not sufficient evidence for withdrawal. Availability, technical compatibility and strategic role could materially change the recommendation.

Outcome and limitation. No before-and-after result is published. Relevant evaluation measures include inactive or duplicated references, stock ageing, rotation and portfolio margin trends. Whether movement occurred, and what caused it, are not claimed here.

Protected in this framework: product lists, supplier terms, customer identities, stock values and unreleased lifecycle decisions.

02 · Commercial strategy

Balance margin protection with market competitiveness

Supplier cost changes create a portfolio decision, not a uniform percentage exercise. The response should reflect product role, customer sensitivity, competitive position and the availability of credible alternatives.

I own

Portfolio impact analysis

I assess authorised cost changes across the affected range and identify the greatest margin, competitiveness and implementation risks.

I coordinate

Commercial recommendation

I bring purchasing, pricing, sales and finance perspectives into a differentiated action proposal.

Boundary

Approval and negotiation

Management approves pricing action; authorised teams own supplier negotiation and system implementation.

Reconstructed portfolio artefact based on the method used during the project. This is not an original internal company document.

Decision model

Different products can require different responses

Evidence
Cost-change direction, current selling position, customer sensitivity, competitive alternatives and implementation discrepancies.
Product role
Core, traffic-driving, differentiated, substitutable, specialist or commercially unviable.
Safeguards
Customer commitments, contractual boundaries, value proposition, alternative-product readiness and approval controls.
Measures
Margin and volume trends, substitution, products below threshold, implementation time and discrepancy direction.

Option 01

Pass through uniformly

Strength
Operationally simple and quick to communicate.
Risk
Can damage competitiveness where customer sensitivity or alternatives differ.

Option 02

Absorb the change

Strength
Protects the immediate customer price.
Risk
Can make the portfolio economically unsustainable.

Direction

Differentiate by product role

Why
It creates room for selective pass-through, renegotiation, substitution or mix changes.
Trade-off
Requires stronger evidence, governance and implementation control.
A uniform increase is operationally simple but commercially weak when products play different roles and customers have different alternatives.

Outcome and limitation. No commercial values or before-and-after result are published. Relevant evaluation measures include margin and volume trends, substitution, implementation time and discrepancy direction; movement is not claimed here.

Protected in this framework: supplier costs, prices, rebates, margins, discounts, customer conditions and negotiation positions.

03 · Go-to-market

Take a range from demand signal to launch readiness

Customer requests, market signals, supplier innovation or regulatory change can indicate an opportunity. The product question is whether the need is recurring and commercially viable—and whether supply, data, documentation and the sales network are ready.

I own

Evaluation and readiness

I integrate market evidence, commercial implications, supply constraints, product information, positioning and adoption needs into a launch recommendation.

I coordinate

Market readiness

I align product, pricing, documentation, supply and sales-enablement dependencies across the relevant teams.

Boundary

Team delivery and approval

Specialist teams execute their workstreams and the relevant management stakeholders approve the launch decision.

Reconstructed portfolio artefact based on the method used during the project. This is not an original internal company document.

Gate 01

Need

Recurring customer or market evidence, target application and acceptable alternatives.

Gate 02

Viability

Commercial fit, demand assumptions, competitive position and resource exposure.

Gate 03

Readiness

Supply, product data, documentation, compliance and availability model.

Gate 04

Adoption

Target customer, application, differentiation, sales guidance and post-launch measures.

Scale

Full-network launch

Strength
Fast reach and consistent market presence.
Exposure
Highest stock and execution risk.

Learn

Bounded validation

Strength
Produces focused evidence before wider commitment.
Exposure
Slower scale and narrower early signal.

Limit

On demand, postpone or reject

Strength
Protects capital where readiness is weak.
Exposure
Lower availability may constrain learning and adoption.
Availability alone does not create adoption. A launch becomes market-ready when the sales network understands the application, target customer, differentiation and relevant alternatives.

Outcome and limitation. No before-and-after result is published. Relevant evaluation measures include active and repeat purchasing customers, selling-location adoption, availability, margin and stock-rotation trends, and cannibalisation. Whether movement occurred, and what caused it, are not claimed here.

Protected in this framework: future products, forecasts, supplier conditions, customer identities and original internal launch materials.

04 · Product operations

Align availability with product role across a branch network

Availability patterns differ across a network, creating a need to align local, central and order-on-demand coverage with product role.

I own

Portfolio analysis

I connect product role, demand evidence, customer breadth and substitutability into stock-plan recommendations.

I coordinate

Operational feasibility

I bring local, supply, purchasing and commercial perspectives into the proposed deployment model.

Boundary

Operational execution

Supply and local teams implement approved changes; branch-level rules and quantities are not disclosed.

Reconstructed portfolio artefact based on the method used during the project. This is not an original internal company document.

Availability model

Match deployment to product role

Local core
Recurring local need where immediate availability materially affects customer value.
Central
Shared availability where demand exists but local duplication is inefficient.
Order on demand
Specialist or infrequent demand supported without permanent local stock.
Transition
Products under substitution, controlled depletion or lifecycle review.

Evidence used

Demand and operational signals together

  • Demand frequency, customer breadth and seasonality
  • Availability, lost-sale and transfer signals
  • Ageing, rotation and substitutability
  • Supplier constraints and relevant local-market factors, presented only at an anonymised level

Measures and limits

Service and inventory must move together

  • Availability and stockouts
  • Ageing and rotation
  • Urgent transfers
  • Cancelled or delayed orders
  • Seasonality and supplier service complicate attribution
Historical sales can understate demand when poor availability previously prevented purchase. Lost-sale evidence and local feedback are necessary to correct that bias.

Outcome and limitation. No location-level before-and-after result is published. Relevant measures include availability, stockouts, ageing, rotation, urgent transfers and cancelled or delayed orders; seasonality, supplier service and local execution limit causal attribution.

Protected in this framework: location-level quantities, replenishment logic, supplier lead times and strategic-customer demand.

05 · Data and compliance

Make product information ready for selling, compliance and digital discovery

Maintaining product readiness across business and digital channels requires coordinated governance of descriptions, classifications, attributes, references, units, media and technical documents.

I own

Business requirements and priority

I define the information needed for customer choice, commercial use, reporting and launch readiness, then prioritise gaps by exposure, risk and strategic value.

I coordinate

Evidence and implementation

Suppliers and specialist functions provide or validate documents; data, digital and technical teams implement agreed changes.

Cross-market principle

Common core, justified exceptions

Shared structures and minimum fields were aligned while valid local language, legal, technical and commercial differences were preserved.

Reconstructed portfolio artefact based on the method used during the project. This is not an original internal company document.

Prioritisation model

Fix what most affects value and risk

Customer exposure
Can a professional customer identify, compare and select the product confidently?
Business integrity
Are units, classifications and references reliable enough for purchasing and reporting?
Compliance
Are the required technical and regulatory documents available and current?
Strategic value
Does the product role justify priority even when current sales are not the highest?

Option 01

Correct everything

Strength
Comprehensive ambition.
Risk
Operationally unrealistic and slow to create customer value.

Option 02

Prioritise sales only

Strength
Clear commercial focus.
Risk
Can miss compliance, customer and strategic exposure.

Direction

Use a risk-weighted readiness gate

Why
Balances commercial value, customer experience, compliance and the prevention of recurring errors.
Trade-off
Risk-weighted prioritisation requires an explicit review path for lower-exposure items.
Product data is part of the product. It shapes customer confidence, commercial accuracy, compliance and whether a launch is genuinely ready.

Outcome and limitation. No before-and-after result is published. Relevant evaluation measures include information and documentation completeness, readiness for publication, onboarding time, incident trends, search usability and manual verification effort. Completeness alone does not prove accuracy or usefulness.

Protected in this framework: internal screenshots, system architecture, restricted documents, technical weaknesses and identifiable supplier records.

06 · Adoption strategy

Diagnose the adoption barrier before prescribing training

When a technically strong range performs unevenly, the gap may come from local demand, availability, pricing, product knowledge, positioning or missing sales tools. Attendance at a training session is not evidence that the underlying barrier has changed.

I own

Barrier diagnosis

I compare performance patterns, commercial feedback, availability and recurring product questions to frame the most plausible adoption barriers.

I coordinate

Targeted response

I align sales, technical, marketing and supplier contributions around the selected customer, application and value proposition.

Boundary

Local execution

Commercial teams own customer conversations; observed adoption patterns also depend on demand, availability, pricing and follow-through.

Reconstructed portfolio artefact based on the method used during the project. This is not an original internal company document.

Demand

Is the segment present?

Compare customer and application fit before assuming an execution problem.

Access

Can people sell it?

Check availability, price position, documentation and alternatives.

Confidence

Is the value clear?

Review product knowledge, technical questions, positioning and objection patterns.

Follow-through

Did behaviour change?

Connect enablement to customer activity, repeat questions and subsequent adoption.

Option 01

Run generic training

Strength
Creates broad awareness quickly.
Risk
Treats attendance as the outcome and may miss the actual barrier.

Option 02

Fix fundamentals first

Strength
Addresses availability, pricing or data before asking teams to compensate.
Risk
Slower visible activation while dependencies are corrected.

Direction

Target enablement to the barrier

Why
Connects customer, application, comparison and objection tools to a specific adoption hypothesis.
Trade-off
Requires follow-up measures and a credible comparison group.
Training attendance is an output. The product outcome is greater confidence, relevant customer engagement and adoption after the intervention.

Outcome and limitation. No location-level result is published. Relevant evaluation measures include active selling locations, new and repeat purchasing customers, recurring-question trends and adoption versus comparable contexts. Any movement would require multi-factor attribution.

Protected in this framework: identifiable locations, employees, internal training assets, sales targets and individual performance comparisons.

07 · Partner strategy

Turn supplier-performance evidence into a customer-value decision

A strategic supplier relationship requires a structured portfolio review across service, documentation, quality and commercial factors—not a binary judgement about the relationship.

I own

Evidence and corrective priorities

I consolidate cross-functional evidence, identify recurring patterns and prepare product and portfolio priorities.

I influence

Supplier and portfolio response

I support supplier discussions and assess alternatives for products with greater customer or continuity risk.

Boundary

Contracts and final decisions

Contractual negotiation, specialist validation and final approval remained with the relevant functions and management stakeholders.

Reconstructed portfolio artefact based on the method used during the project. This is not an original internal company document.

Continuity

Continue unchanged

No transition cost, but recurring exposure remains.

Correct

Agree corrective priorities

Preserves continuity but depends on sustained follow-through.

Resilience

Add an alternative source

Reduces dependency while adding range and operational complexity.

Transition

Migrate selected products

Can reduce risk but requires technical, customer and stock planning.

This reconstructed framework compares possible response patterns; it does not disclose which option, if any, was selected.

Evidence used

Portfolio and customer value

  • Service reliability and resolution patterns
  • Documentation completeness and product quality
  • Patterns in pricing and invoice accuracy, without disclosing values
  • Responsiveness, innovation, alternatives and customer dependence

Measures and limits

Direction, not confidential values

  • Discrepancy frequency
  • Service-level trends and issue-resolution time
  • Trend in supply interruptions
  • Documentation completeness
  • Outcomes depend on coordinated action across several functions and partners
Supplier performance is a portfolio risk and customer-value question, not only a purchasing relationship.

Attribution limit. No before-and-after result is published. Any observed movement would require multi-factor attribution because several teams, supplier actions and external conditions can contribute.

Protected in this framework: supplier identities, contracts, rebates, invoices, service incidents and internal performance ratings.